Evidence map›Paper›PMID 34423139›Full record

ArticleInnovation in aging2021

Development and Validation of a Novel Indicator of Visual Disability in the National Health and Aging Trends Study.

Lindsey B De Lott, Ajay Kolli, Yunshu Zhou, Mengyao Hu, Joshua R Ehrlich

Open access · goldAbstract read
In one paragraph

Article in Innovation in aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Lindsey B De LottDepartment of Ophthalmology & Visual Sciences, Michigan Medicine, University of Michigan, Ann Arbor, USA.ORCID https://orcid.org/0000-0003-2403-0207
Ajay KolliDepartment of Ophthalmology & Visual Sciences, Michigan Medicine, University of Michigan, Ann Arbor, USA.
Yunshu ZhouDepartment of Ophthalmology & Visual Sciences, Michigan Medicine, University of Michigan, Ann Arbor, USA.
Mengyao HuInstitute for Social Research, University of Michigan, Ann Arbor, USA.ORCID https://orcid.org/0000-0002-9044-9009
Joshua R EhrlichDepartment of Ophthalmology & Visual Sciences, Michigan Medicine, University of Michigan, Ann Arbor, USA.ORCID https://orcid.org/0000-0002-0607-3564
University of Michigan · USHarvard University · US

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Optimizing Treatment Decisions for Acute Demyelinating Optic NeuritisK23EY027849 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DE LOTT, LINDSEY BLAKE · 2018 to 2022
$1.0M
NEI NIH HHS K23 EY027849NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe National Health and Aging Trends Study (NHATS) is an ongoing, nationally representative panel study of older adults that collects data on health and disability, including measures on self-reported visual disability (SRVD). Prior studies assessing the association of SRVD with other measures of healthy aging have classified participants as having or not having SRVD, which does not capture the full spectrum of SRVD reported by participants. Therefore, we sought to develop and validate an ordinal indicator of SRVD to facilitate research on the impact of late-life SRVD on health and disability in NHATS. RESEARCH DESIGN AND

methodsWe used 2015 NHATS data with community-dwelling participants who answered survey questions about visual functioning and vision aid use. Based on responses, participants were categorized into one of 6 groups: blind, near and distance SRVD without vision aid use, near and distance SRVD with vision aid use, near or distance SRVD without vision aid use, near or distance SRVD with vision aid use, or no SRVD. Multivariable Poisson regression models assessed convergent validity of the ordinal SRVD scale with functional activity and well-being scores, while adjusting for demographic factors and medical comorbidities.

resultsOf the 7061 eligible individuals, 8.3% ( DISCUSSION AND IMPLICATIONS: A novel 6-level SRVD scale in NHATS demonstrated convergent validity with functional activity and well-being scales. This scale provides a new tool with improved measurement precision to study the impact of late-life SRVD on health and disability in a nationally representative study of older adults.

Indexed as

AgingNHATSPsychometricsVision

Identifiers

PMID34423139
PMCPMC8374875
OpenAlexW3166151806

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.